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A Low Resolution Noisy Star Image Recognition Method

A low-resolution, star map recognition technology, applied in the field of low-resolution noisy star map recognition, can solve the problem of low recognition rate of navigation star maps and achieve the effect of removing noise

Inactive Publication Date: 2019-09-24
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0006] In order to avoid the deficiencies of the prior art, the present invention proposes a low-resolution noise-containing star map recognition method to solve the problem of low recognition rate of low-resolution high-noise navigation star maps

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  • A Low Resolution Noisy Star Image Recognition Method
  • A Low Resolution Noisy Star Image Recognition Method
  • A Low Resolution Noisy Star Image Recognition Method

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specific Embodiment

[0059] 1. Navigation map preprocessing

[0060] 1.1 Sparse representation and super-resolution of star maps

[0061] Generally, the low-resolution star map containing noise can be regarded as a series of processes of blurring, sampling and adding noise to the high-resolution star map, such as Figure 4 shown.

[0062] Denote the low-resolution star map with noise interference as F, assuming F∈R N , the size of F is F can be represented by a low-resolution star map f without noise and a noise term g:

[0063] F=f+g (1-1)

[0064] From the generation process of the low-resolution image, the low-resolution star map f can be expressed by the following formula:

[0065] f = SHX (1-2)

[0066] Among them, X represents the high-resolution star map, S represents the sampling operator, and H represents the fuzzy operator.

[0067] The basic idea of ​​star map sparse representation is to represent the noise-free low-resolution star map f by a predefined linear combination of ato...

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Abstract

The invention relates to a low-resolution noise-containing star map recognition method, which includes two parts: navigation star map preprocessing and navigation star recognition. The noisy star map is sparsely represented, and then the complete dictionary is used to restore the denoising star map, and the noise is effectively removed on the basis of retaining the star point information. Apply the sparse representation method to the image denoising of the low-resolution star map, and apply the image super-resolution method to the high-resolution reconstruction of the low-resolution denoising star map, so as to obtain a high-resolution, high-quality star map, and then improve the star map. The positioning accuracy of the center of mass of the map navigator. The present invention uses a sparse representation method to sparsely represent the noisy star map, and then uses a complete dictionary to restore the denoised star map, effectively removing noise on the basis of retaining star point information.

Description

technical field [0001] The invention belongs to computer image processing technology, and relates to a low-resolution noise-containing star map recognition method, which performs denoising processing, feature extraction and navigation star recognition on the low-resolution noise-containing navigation star map taken by a star sensor, so as to improve the astronomy Navigation accuracy. Background technique [0002] In recent years, celestial navigation has made great progress in space exploration tasks due to its advantages of high autonomy, high concealment, high reliability, and no error accumulation over time. Astronomical navigation mainly uses stars as navigation beacons. By identifying star sensors to take navigation star maps, solve detectors to provide poses, and provide navigation information for detectors. [0003] The effective and precise work of celestial navigation depends on the rapid and precise identification of navigation stars. The existing navigation star...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/40G06K9/62G06N3/08
CPCG06N3/08G06V10/30G06V10/513G06F18/28
Inventor 苟斌程咏梅赵明艳田朝旭陈嘉良白渭津
Owner NORTHWESTERN POLYTECHNICAL UNIV
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